serp_jobs.error_messages.no_longer_accepting
Founding Engineer
Weekday AISpokanejob_description.job_card.variable_days_ago
serp_jobs.job_preview.job_type
- serp_jobs.job_card.full_time
job_description.job_card.job_descriptionTypeScript Expertise : Strong experience in TypeScript (core to the majority of the codebase). Database Knowledge : Proficiency with SQL and similar technologies, with experience in ClickHouse, Supabase, and Postgres. Cloud Services : Familiarity with cloud deployment workflows; experience with Cloudflare is advantageous. Problem-Solving & Communication : Ability to simplify complex problems and communicate effectively with both technical and non-technical stakeholders. Adaptability : Quick learner who thrives in a dynamic, fast-paced startup environment. AI Knowledge : Solid understanding of LLMs and the AI ecosystem. Hands-On Product Familiarity : Prior use of the platform is preferred to bring valuable user insights into development. Languages : TypeScript, Python Frameworks : , Tailwind CSS, Express, ShadCN Hosting : Kubernetes, AWS, GCP, Vercel, Supabase Services : Docker, Postgres, ClickHouse, Cloudflare Workers, Redis Developer Tools : Unix, CLI, Git LLM Integrations : OpenAI, Anthropic, Gemini, TogetherAI, and others
This role is for one of the Weekday's clients
Salary range : $130k - $180k
Experience : 5+ YoE
Overview :
Join a passionate founding team and work closely with the leadership to design and deliver highly scalable systems that transform the LLM developer experience. This is a rare opportunity to shape a product from inception, influence its technical direction, and make a significant impact on the future of AI observability.
Requirements
Key Responsibilities
- Feature Development : Design, develop, and implement new features to enhance the platform and improve developer experience.
- Backend & Frontend Services :
- Frontend : , Tailwind CSS
- Proxy worker : Wrangler / Cloudflare
- Application database : Supabase
- Analytics database : ClickHouse
- Backend services : Express / AWS ECS
- Queue systems : Kafka
- End-to-End Ownership : Manage projects from ideation to deployment and post-launch optimization.
- Deployment & Operations : Oversee deployment workflows and ensure smooth, reliable system operations.
- Collaboration : Work on feature requests, integrations, and documentation enhancements to improve usability.
- Community Engagement : Gather user feedback, encourage contributions, and iterate on the product based on real-world use cases.
Preferred Skills
Tech Stack
serp_jobs.job_alerts.create_a_job
Founding Engineer • Spokane